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. 2025 Apr 24;13(6):e01680-24. doi: 10.1128/spectrum.01680-24

Comparative genomic analysis of metal-tolerant bacteria reveals significant differences in metal adaptation strategies

Dai Di Chen 1, Liu Lian Zhang 1, Jiu Hua Zhang 1, Wen Ting Ban 1, Qingxin Li 1, Jin Chuan Wu 1,
Editor: Erik F Y Hom2
PMCID: PMC12131726  PMID: 40272196

ABSTRACT

Metal-tolerant bacteria have been commercially used in wastewater treatment, bio-fertilizer, and soil remediation, etc. However, the mechanisms underlying their actions are not yet fully understood. We isolated metal-tolerant bacteria from the rhizosphere soil samples with metal-enriched media containing Cu, Fe, or Mn, sequenced and compared the genomes, and analyzed their metal adaptation strategies at genomic levels to better understand their action mechanisms. Totally, 32 metal-tolerant isolates were identified and classified into 12 genera based on phylogenetic analysis. The determination of maximum tolerance concentration and the effect of metal ions on the isolates indicated that Serratia marcescens X1 (CuSO4: 1,000 mg/L, FeSO4: 1,000 mg/L, and MnSO4.4H2O: 2,000 mg/L), Mammaliicoccus sciuri X26 (FeSO4: 600 mg/L and MnSO4.4H2O: 2,000 mg/L), and Rummeliibacillus pycnus X33 (CuSO4: 400 mg/L, FeSO4: 1,000 mg/L, and MnSO4.4H2O: 800 mg/L) showed significant differences in metal tolerance to Cu, Fe, and Mn with other isolates. They possess quite different genomic features that enable them to adapt to various metal ions. S. marcescens X1 possesses abundant genes required for Cu, Fe, and Mn homeostasis. M. sciuri X26 has a number of genes involved in Mn and Zn homeostasis but with no genes responsible for Cu and Ca transport. R. pycnus X33 is rich in Fe, Zn, and Mg transport systems but poor in Cu and Mn transport systems. It is thus inferred that the combined use of them would compensate for their differences and enhance their ability in accumulating a wider range of heavy metals for promoting their applications in industry, agriculture, and ecology.

IMPORTANCE

Metal-tolerant bacteria have wide applications in environmental, agricultural, and ecological fields, but their action strategies are not yet fully understood. We isolated 32 metal-tolerant bacteria from the rhizosphere soil samples. Among them, Serratia marcescens X1, Mammaliicoccus sciuri X26, and Rummeliibacillus pycnus X33 showed significant differences in metal tolerance to Cu, Fe, and Mn with other isolates. Comparative genomic analysis revealed that they have abundant and different genomic features to adapt to various metal ions. It is thus inferred that the combined use of them would compensate for their differences and enhance their ability to accumulate heavy metal ions, widening their applications in industry, agriculture, and ecology.

KEYWORDS: metal-tolerant bacteria, genomic analysis, metal-stress-response, combined use, application

INTRODUCTION

Metal-tolerant bacteria that exhibit high resistance to metal ions have been found in varied environments and habitats such as water, soil, plants, and humans/animals (14). In the recent studies, Enterobacter spp., Pseudomonas spp., Leclercia spp., and Serratia odorifera from fresh produce showed good tolerance to copper (Cu) (minimum inhibitory concentration [MIC], 48 mM–60 mM) and zinc (Zn) (MIC, 8 mM–16 mM) (2); Bacillus spp., Rhodococcus equi, Serratia marcescens, and Paenibacillus chibensis from water and soil samples collected from coal mine exhibited high maximum tolerable concentration (MTC) of 100 ppm–500 ppm against iron (Fe), of 160 ppm–830 ppm against manganese (Mn), and of 360 ppm–1,400 ppm against plumbum (Pb) (3). Metal-tolerant bacteria possess various metal transport systems to facilitate them as intermediate storage stations for metal ions to shuttle through various environments and habitats. Therefore, metal-tolerant bacteria have been applied in many fields such as treatment of wastewater, transport of metal ions between plants and soil, regulation of soil pH, and remediation of contaminated soil (58). With the increasing roles played by metal-tolerant bacteria in human life, recently multi-omics technologies (e.g., genomics, transcriptomics, proteomics, and metabolomics) have been applied for investigating the metal resistance mechanisms of microorganisms (912).

Metal ions are required as essential nutrients for the survival of organisms because they play important roles in cellular metabolisms. It is noteworthy that excessive metal ions can have significantly harmful effects on living organisms (13, 14). To survive in environments of varied metal concentrations, microorganisms need diverse strategies to maintain intracellular metal homeostasis. Studies on mechanisms of metal homeostasis in microorganisms suggest that metal transport systems and metal-binding proteins are key players in response to metal stress (15, 16). In bacteria, metal transport systems are conserved but diverse, such as ATP-binding cassette (ABC) transporters (e.g., Actinobacillus ferric uptake system AfuABC required for Fe influx [17], Salmonella iron transporter SitABCD involved in the acquisition of Fe and Mn [18], Mn transporter MntABC responsible for Mn uptake [19], and Zn uptake system ZnuABC necessary for Zn import [15]), two-component system (e.g., CusSR and PcoSR regulating Cu influx [20], PhoPQ mediating magnesium [Mg] import [21], and potassium (K)-dependent protein KdpDE controlling K uptake [22]), P-type ATPases (e.g., CopA contributing to the Cu efflux [20]), symporter (e.g., glutamate:Na+ symporter GltS, solute:Na+ symporter SSS, and proline:Na+ symporter PutP performing sodium [Na] influx [23]), and antiporter (e.g., Na+:H+ antiporter NhaABC and multicomponent Na+:H+ antiporter MnhA-G carrying out Na efflux [24], and Ca2+:H+ antiporter ChaA undertaking calcium (Ca) export [25]).

In order to obtain metal-tolerant bacteria, we screened the isolates from rhizosphere soil samples with metal-enriched medium containing Cu, Fe, or Mn and performed phylogenetic analysis based on the 16S ribosomal RNA (rRNA) sequences of the isolates. Moreover, we sequenced and compared their genomes, analyzed their metal adaptation strategies at the genomic level to provide insight into their differences in action mechanisms for guiding the development of their new applications.

RESULTS AND DISCUSSIONS

Isolation and molecular identification of metal-tolerant bacteria

Nearly 100 isolates from rhizosphere soil samples were screened using the metal-enriched medium containing 200 mg/L each of CuSO4, FeSO4, or MnSO4.4H2O. Totally, 32 isolates were identified with 16S rRNA gene sequences revealing their phylogenetic affiliation with 12 genera, including Pseudomonas, 8; Cupriavidus, 5; Enterobacter, 4; Klebsiella, 4; Bacillus, 3; Chryseobacterium, 2; Atlantibacter, 1; Lelliottia, 1; Exiguobacterium, 1; Rummeliibacillus, 1; Serratia, 1; and Mammaliicoccus, 1. The Fe-, Mn-, and/or Pb-tolerant bacteria, which were isolated from coal mine samples, belong to the genera of Bacillus, Serratia, Rhodococcus, and Paenibacillus (3). Cidre et al. isolated the Cu- and Zn-resistant bacteria from fresh produce and identified them to six genera: Enterobacter, Leclercia, Pseudomonas, Serratia, Bacillus, and Paenibacillus (2). These results suggest that the species of Enterobacter, Pseudomonas, Serratia, and Bacillus might act as the key players in the transformation of metal (Fe, Cu, or/and Mn) tolerance in soil and plants.

Among the 32 isolates, 16 of them exhibited distinct colony morphologies and the ones that were at least tolerant to two metals were selected for further investigation (Fig. 1). The phylogenetic relationships of the 16 isolates and the related species were analyzed using a neighbor-joining phylogenetic tree with their 16S rRNA gene sequences (Fig. 2; Table 1). A 16S rRNA gene identity >98% is a traditional criterion for delineating microbial species, suggesting that two strains are of the same species (26). The isolates X1, X3, and X5 showed 16S rRNA gene sequence similarities of 99.72%, 99.65%, and 99.93% with Serratia marcescens C3, Lelliottia jeotgali N1, and Atlantibacter hermannii R11, respectively, so the isolates X1, X3, and X5 were identified as S. marcescens, L. jeotgali, and A. hermannii. The isolates X4 and X17 were homologous to Chryseobacterium spp. (>98.43% similarities), so they were classified as C. gleum and C. defluvii, respectively. The isolates X6 and X12 clustered together with Enterobacter spp. by >99.72% of 16S rRNA gene identities, so they were identified as E. cloacae and E. ludwigii, respectively. The isolates X8, X11, and G2 were most matching with Bacillus spp. with 16S rRNA gene sequence similarities of >99.79%, so they were designated as B. pseudomycoides X8, Priestia megaterium X11, and B. subtilis G2, respectively. The 16S rRNA gene sequences of isolates X10 and N4 were 99.79% and 99.38% similar to those of Exiguobacterium indicum MnW2201005 and Cupriavidus gilardii CR3, so they were classified as E. indicum and C. gilardii, respectively. The 16S rRNA gene sequences of isolates X19 and X30 correlated well with those of Pseudomonas spp. (>99.72%), so they were identified as P. plecoglossicida and P. nitroreducens, respectively. The isolates X26 and X33 were closest to Mammaliicoccus sciuri CB212 and Rummeliibacillus pycnus 111_12 with great bootstrap supports (100% and 99%) and 16S rRNA gene sequence similarities (99.72% and 99.08%, respectively). Therefore, they were designated as M. sciuri X26 and R. pycnus X33, respectively.

Fig 1.

Petri dishes depict bacterial colonies across strains with varied morphologies and inhibition assays at concentrations from 0.1 g per L to 2.0 g per L depicting microbial growth suppression and resistance patterns across samples.

MTC of 16 metal-tolerant bacterial isolates. Sixteen isolates were grown on Luria-Bertani (LB) medium (A). Sixteen isolates were grown on LB medium supplemented with various concentrations of CuSO4 (B), FeSO4 (C), and MnSO4.4H2O (D). Photographs were taken 3 days after inoculation at 30°C.

Fig 2.

Phylogenetic tree depicts evolutionary relationships among bacterial strains with bootstrap values on branches, strains X1, X6, X8, X10, X11, X12, X17, X19, X26, X30, X33, N4, and G2 clustered with reference sequences based on genetic similarity.

Phylogenetic relationships of 16 metal-tolerant bacterial isolates and the related species. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences showing the phylogenetic positions of 16 metal-tolerant bacterial isolates (indicated with solid red diamond). The bootstrap values are shown at branch nodes. Bar, 0.02 nucleotide position.

TABLE 1.

16S rRNA gene identities of metal-tolerant bacterial isolates with related species

Isolates GenBank no. Related species 16S rRNA gene identities
X1 OR342587 Serratia marcescens C3 99.72%
X3 OR342588 Lelliottia jeotgali N1 99.65%
X4 OR342589 Chryseobacterium gleum 110146 99.24%
X5 OR342590 Atlantibacter hermannii R11 99.93%
X6 OR342591 Enterobacter cloacae BIA141 99.72%
X8 OR342592 Bacillus pseudomycoides SM1 99.79%
X10 OR342593 Exiguobacterium indicum MnW2201005 99.79%
X11 OR342594 Priestia megaterium NFZ6 99.86%
X12 OR342595 Enterobacter ludwigii SMB4 100%
X17 OR342596 Chryseobacterium defluvii FB13 98.43%
X19 OR342597 Pseudomonas plecoglossicida SKR36 99.72%
X26 OR342598 Mammaliicoccus sciuri CB212 99.72%
X30 OR342599 Pseudomonas nitroreducens CW7 99.79%
X33 OR342600 Rummeliibacillus pycnus 111_12 99.08%
N4 OR342601 Cupriavidus gilardii CR3 99.38%
G2 OR342602 Bacillus subtilis LZH-H1 100%

Maximum tolerance concentration (MTC) of metal-tolerant bacteria

The MTC of the 16 isolates for Cu, Fe, and Mn was determined using the spot plate method, and the results were shown in Fig. 1B through D. For Cu, the highest MTC (1,000 mg/L) was exhibited by S. marcescens X1 and E. cloacae X6, followed by L. jeotgali X3 and A. hermannii X5 (900 mg/L). Besides, all isolates could tolerate a minimum concentration of 200 mg/L of CuSO4, except for M. sciuri X26. In the case of Fe, S. marcescens X1, C. gleum X4, and R. pycnus X33 displayed the highest MTC of 1,000 mg/L, accompanied by E. cloacae X6 and B. pseudomycoides X8 (MTC of 900 mg/L). Moreover, all isolates could tolerate a minimum concentration of 600 mg/L of FeSO4. All isolates could grow at a concentration of 2,000 mg/L of MnSO4.4H2O, except for R. pycnus X33, which showed an MTC of 400 mg/L against Mn. Overall, S. marcescens X1 exhibited the highest MTC for Cu, Fe, and Mn, M. sciuri X26 showed the highest MTC for Mn and the lowest MTC for Cu, and R. pycnus X33 displayed the highest MTC for Fe and the lowest MTC for Mn. As the above three isolates showed significant differences with others, they were selected for further investigation.

Enterobacterales have been reported existing in multiple niches including soil, water, plants, animals, and humans. Many species of this order have exhibited high resistance to multiple metals and antibiotics (24). It is worth noting that the isolates belonging to the Enterobacterales order (S. marcescens X1, L. jeotgali X3, A. hermannii X5, and E. cloacae X6) exhibited superior tolerance to multiple metals. The isolate S. marcescens X1 showed higher tolerance to metals than other reported S. marcescens strains such as S. marcescens KH-CC (MTC of 500 ppm against Fe and 830 ppm against Mn) (3), S. marcescens CL11 and S. marcescens CL35 tolerated 1,200 mg/L of Mn (27). Shylla et al. reported that B. pseudomycoides KH-12A showed 400 ppm tolerance to Fe and 730 ppm to Mn, obviously lower than those of B. pseudomycoides X8 (3). The MTC values of 90 ppm–1,000 ppm against Fe and MTC of 120 ppm–800 ppm against Mn have been reported in other Bacillus species (3, 28), while the isolates P. megaterium X11 tolerated 800 mg/L of Fe and 2,000 mg/L of Mn, and B. subtilis G2 resisted 600 mg/L of Fe and 2,000 mg/L of Mn.

Effect of metals on bacterial growth

The growth kinetics of the isolates X1, X26, and X33 cultured on LB broth with middle concentrations of metals were monitored to investigate the effects of metals (Cu, Fe, and Mn) on bacterial growth. A nonsignificant difference was observed in the growth curves of isolate X1 at non-metals, 500 mg/L of CuSO4, 500 mg/L of FeSO4, and 1,000 mg/L of MnSO4.4H2O, reaching an OD600 of approximately 1.9 after 30 h (Fig. 3A), indicating that the middle concentrations of Cu, Fe, and Mn for isolate X1 did not obviously affect the growth of this isolate. As the isolate X26 could not resist Cu, which was evidenced from the result of the MTC test, the effect of Cu was not carried out here. Besides, the isolate X26 reached OD600 values of 3.41, 3.34, and 2.81 at non-metals, 300 mg/L of FeSO4, and 1,000 mg/L of MnSO4.4H2O after 30 h, respectively (Fig. 3B), suggesting that the middle concentration of Fe for isolate X26 slightly inhibited its growth, while the middle concentration of Mn for isolate X26 significantly inhibited its growth. The isolate X33 grew in LB broth containing 500 mg/L of FeSO4 after 30 h giving an OD600 of 1.48, which is close to the case of the absence of metals (OD600 = 1.55) (Fig. 3C). In contrast, the isolate got lower growth rates with OD600 values of 0.76 and 1.04 at 300 mg/L of CuSO4 and 1,000 mg/L of MnSO4.4H2O after 30 h, respectively (Fig. 3C). These results suggest that Cu has the strongest inhibitory effect on the growth of isolate X33, followed by Mn. Overall, the isolate X1 could resist various metals at high concentrations, and its metal tolerance ability is the strongest, followed by isolate X33, then isolate X26. In addition, Cu is most toxic to the isolates, followed by Mn, then Fe.

Fig 3.

Line graphs depict OD600 growth curves over 35 hours for isolates X1, X26, and X33 under control and metal treatments, including Cu, Fe, and Mn at different concentrations, depicting variation in growth response across conditions and isolates.

Effect of metals on bacterial growth. S. marcescens X1 (A), M. sciuri X26 (B), and R. pycnus X33 (C) in the presence of Cu, Fe, and Mn.

Genomic characteristics of the three metal-tolerant bacterial isolates

Genomic features of the three metal-tolerant bacterial isolates are shown in Fig. 4 and Table 2. The complete genome of S. marcescens X1 is assembled in a single circular chromosome of 4,962,287 bp (G+C content of 59.82%), which is smaller than that of other S. marcescens strains such as N2 (5.14 Mbp), RSC-14 (5.13 Mbp), and WW4 (5.24 Mbp) (10, 29). A total of 4,542 genes were predicted from the genome of S. marcescens X1, including 92 transfer RNA (tRNA) genes and 22 rRNA genes. The draft genome of M. sciuri X26 (3,117,130 bp with a G+C content of 32.56%) assembly contains a complete circular chromosome (2,982,601 bp) and two plasmids (plasmid I: 67,732 bp and plasmid II: 66,797 bp). There are 3,085 genes in the genome, which include 58 tRNA genes and 19 rRNA genes. Compared with M. sciuri X26, M. sciuri IMDO-S72 has a smaller size of genome (2,898,343 bp) containing a chromosome and four plasmids and fewer genes (2,923) (30). The final genome of R. pycnus X33 is a complete circular chromosome with a size of 4,346,358 bp and a GC content of 34.97%, which is bigger than that of R. pycnus DSM 15030 (3,851,193 bp) (NJAS01000000). Totally, 4,105 predicted genes were found in the genome of R. pycnus X33, of which 122 are tRNA genes and 39 are rRNA genes. In addition, 4,532, 3,046, and 3,971 coding sequences (CDSs) were functionally annotated with Cluster of Orthologous Groups (COG), Gene Ontology (GO), Swiss-Prot, Non-Redundant Protein Database (NR), and Kyoto Encyclopedia of Genes and Genomes (KEGG) database from the genome of S. marcescens X1, M. sciuri X26, and R. pycnus X33, respectively (Table S1, DOI 10.17605/OSF.IO/G6728; https://osf.io/g6728/?view_only=80422cbf18ab4173885728f83db99ed5). Functional categories of genes based on the COG database are shown in Fig. 4 and Fig. S1.

Fig 4.

Circular genome maps depict chromosomes of X1, X26, and X33 isolates and two plasmids from X26 depicting gene distribution, GC content, and GC skew across base pair coordinates with functional categories represented by segmented concentric rings.

Circular maps of S. marcescens X1 (A), R. pycnus X33 (B), and M. sciuri X26 (C) genomes. The numbers 1 to 7 are the circles of circular maps from inner to outer: (1) GC skew. Dark gray represents areas with G content greater than C, while red represents areas with C content greater than G. (2) GC content. The value is plotted as the deviation from the average GC content of the entire sequence. (3) tRNA (blue) and rRNA (purple). (4) Repetitive sequences. (5, 6) CDS colored according to COG functional categories, 5 is negative strand, 6 is positive strand. (7) Marker of genome size, with each scale measuring 5 kb.

TABLE 2.

Comparative genome statistics of three metal-tolerant bacterial isolates and other strains of homogeneity

Strains/Features S. marcescens X1 S. marcescens N2 M. sciuri X26 M. sciuri IMDO-S72 R. pycnus X33 R. pycnus DSM 15030
Genome size (bp) 4,962,287 5,140,264 3,117,130 2,898,343 4,346,358 3,851,193
Chromosome 1 1 1 1 1 1
Plasmid 0 0 2 4 0 0
GC content (%) 59.82 59.1 32.56 32.6 34.97 34.5
Genes 4,542 5,501 3,085 2,923 4,105 3,784
CDSs 4,532 5,393 3,046 2,842 3,971 3,625
tRNA 92 86 58 58 122 116
rRNA (5S/16S/23S) 8/7/7 2/2/2 7/6/6 7/6/6 13/13/13 13/12/12
GenBank accession number CP132290 (this study) SPSG02000000 JAUZEF000000000 (this study) CAJVGN010000000 CP132291 (this study) NJAS01000000

Metal adaptation strategies of the three metal-tolerant bacterial isolates

Metal ions are essential micronutrients for biological systems, forming active centers of various metalloenzymes. However, excess amounts of metals are cytotoxic. Therefore, elucidation of the mechanisms of metal responses in bacteria would help develop sophisticated cultivation strategies for new applications. To investigate the metal adaptation strategies of metal-tolerant bacteria at a genomic level, the genes responsible for metal tolerance pathways in the genomes of the three metal-tolerant bacterial isolates were identified and compared (Fig. 5 and Table S2). It is seen that the putative metal stress-response genes are different in both types and amounts, which likely results in their different metal adaptation strategies.

Fig 5.

Diagram presents ion uptake and efflux systems for potassium, sodium, iron, manganese, zinc, copper, magnesium, and calcium across X1, X26, and X33 isolates with metal-specific proteins, homeostasis regions, and binding components.

Schematic of the proteins identified as playing a putative role in the adaptation of three metal-tolerant bacterial isolates to metal environments. Strains: S. marcescens X1 (blue solid circle), M. sciuri X26 (red solid square), and R. pycnus X33 (green solid triangle). The putative function of genes is shown in Table S2.

For copper homeostasis in S. marcescens X1, the homologs of a multi-copper oxidase, CueO, and two periplasmic chelators, PcoC and PcoD, probably perform copper detoxification in the periplasm by converting periplasmic Cu(I) to Cu(II) (31, 32). The Cu(I) in periplasm fluxes across the inner membrane under the control of the homologs of three sensory systems, i.e., the MerR-family transcriptional regulator (CueR) and the CusS/CusR two-component system (20). The Cu(I) in the cytoplasm may be scavenged by the homologs of a high-affinity cuprochaperone (CopZ) and transported by two copper homeostasis proteins (CutC and CutF) (20, 33). S. marcescens X1 shows high copper resistance most likely due to the richness of genes involved in copper homeostasis in its genomes. M. sciuri X26 possesses CopZ and CutC but lacks the copper sensory systems, likely resulting in conditional lethality in the presence of exogenous copper. The copper tolerance of R. pycnus X33 (MTC of 400 mg/L) was lower than S. marcescens X1 (MTC of 1,000 mg/L), likely owing to the poorer copper response systems, i.e., two copper chaperones (CopZ and NosL) and one Cu-processing system permease protein (NosY). It is noteworthy that the copper resistance genes (i.e., cusSR and pcoCD) were not found in M. sciuri X26 and R. pycnus X33, but were only found in S. marcescens X1. The cus and pco gene clusters and accessory genes situated between transposable elements are composed of a copper homeostasis and silver resistance island (CHASRI), which was found on chromosomes in Enterobacteriaceae (such as Escherichia coli, E. cloacae, Klebsiella pneumoniae, Cronobacter turicensis, Cronobacter sakazakii, and S. marescens strains which are facultative anaerobic human or animal pathogens) (2, 34). Staehlin et al. proposed that the CHASRI had originated from a relative of E. cloacae and subsequently experienced dispersal among Enterobacteriaceae by horizontal gene transfer (HGT). Moreover, the resistance function of CHASRI was increased during shifts between aerobic and anaerobic environments; thus, CHASRI could be maintained within facultative anaerobes of human or animal pathogens (34).

In the S. marcescens X1 genome, a number of genes encoding the homologs of proteins responsible for Fe uptake pathways were discovered, including the ferric hydroxamate uptake (Fhu) system (FhuB, C, and D) necessary for the transport of ferrichrome, and other Fe3+ compounds from the periplasm (35), elemental Fe(II/III) (Efe) complex (EfeO and EfeU) required for the acquisition and utilization of iron (36), the AfuABC system responsible for the uptake of Fe(III) (17), the ferrous iron transport (Feo) system (FeoA, B, and C) involved in the transport of Fe(II) (37), and the Salmonella iron transporter (Sit) (SitA, B, C, and D) which plays an important role in Fe acquisition under iron-deficient conditions (38). Many iron-sulfur proteins, i.e., iron-sulfur cluster assembly protein/iron-sulfur cluster assembly regulator, A-type iron-sulfur carrier protein (ErpA), fumarate reductase iron-sulfur subunit (FrdB), and formate dehydrogenase iron-sulfur subunit (FdoH), have been reported to play important roles in Fe homeostasis and many cellular processes (3942). Therefore, the determination of MTC and the effect of iron on S. marcescens X1 show that this isolate exhibited high tolerance to iron (MTC of 1,000 mg/L), and its growth was not obviously affected by middle concentration of iron (500 mg/L of FeSO4). R. pycnus X33 also exhibited an MTC of 1,000 mg/L against Fe, but its growth obviously decreased under 500 mg/L FeSO4, which might be ascribed to the absence of some Fe uptake systems (i.e., AfuABC system and SitABCD transporters) and iron-sulfur proteins (ErpA, FrdB, and FdoH) in R. pycnus X33 compared with S. marcescens X1. M. sciuri X26 appears to absorb iron only via two Fe uptake systems, FhuBCD system and EfeUO complex, resulting in lower copper tolerance than the other two isolates.

S. marcescens X1 exhibited high tolerance to Mn (MTC of 2,000 mg/L), possibly due to the two types of Mn import systems present in this isolate. The first system is an H+-dependent Mn2+ transporter, MntH, which is a high-affinity manganese acquisition system regulated by MntR (16, 18). The second system is an ABC transporter, SitABCD, which transports Mn also via the mediation of MntR (18). M. sciuri X26 showed high tolerance to Mn (MTC of 2,000 mg/L), possibly resulting from two manganese transporters, i.e., homologs of MntH and ABC transporter MntABC (19). However, the absence of MntR might reduce the Mn tolerance of this isolate, so its growth decreased under 1,000 mg/L MnSO4.4H2O. The Mn tolerance of R. pycnus X33 was lowest among the three isolates, which might be attributed to the only one manganese transporter (MntH homolog) in this isolate. The MntH homologs were found in all three isolates, X1, X26, and X33. The study of Cellier revealed that aerobic bacteria (such as Firmicutes, Actinobacteria, Deinococcus, and Enterobacteria) MntH dispersed via HGT within bacterial solute carriers 11 (a family of metal-ion transporters playing an important role in nutrition and host-microbe interactions), resulting in the enhancement of bacterial stress resistance function by aerobic metabolism (43).

In the genomes of the three isolates, a number of genes involved in the transportation and homeostasis of other metals (i.e., Zn, Mg, Ca, Na, and K) were also found. For the transportation of Zn, the Znu and Zip (Zrt/Irt-like protein) systems are believed to be responsible for the influx of Zn into the cells, while the Znt (Zn transporter) and Czc (cobalt, zinc, and cadmium) systems are thought to be involved in the efflux of Zn out of the cells (15, 16, 44). For Zn uptake, the homologs of znuABC and their regulatory gene zurR were found in the genomes of the three isolates, while the homolog of zip is only present in the genomes of M. sciuri X26 and R. pycnus X33. For the Zn efflux, S. marcescens X1 possesses the homologs of ZntABR and CzcD, while M. sciuri X26 and R. pycnus X33 only have ZntB and CzcD homologs. Moreover, some genes, vanX (encoding zinc-dependent D-Ala-D-Ala dipeptidase), vanY (encoding zinc-containing D-Ala-D-Ala carboxypeptidase), and yahK (encoding zinc-type alcohol dehydrogenase-like protein), involved in the Zn homeostasis and many physiological processes (45, 46), were found in the genomes of M. sciuri X26 and/or R. pycnus X33 but not in the genome of S. marcescens X1. These findings suggest that M. sciuri X26 and R. pycnus X33 may have a superior ability for resisting Zn compared to S. marcescens X1. The main Mg transport systems of the three isolates show differences. The Mg uptake of S. marcescens X1 is likely mediated by the homologs of PhoP (the response regulator/transcriptional activator)/PhoQ (the sensor/receptor histidine kinase) two-component system (21). In M. sciuri X26, the Mg import into cells may be performed by transporter MgtE, a widely distributed Mg2+ channel in microorganisms (47). The four Mg transporters, CorA, MgtA, MgtB, and MgtE, reported to be highly selective for Mg uptake (48), probably contribute to the Mg transport in R. pycnus X33. In the case of Ca transport, one homolog of VDCC (voltage-dependent Ca2+-channel) involved in the Ca2+ influx (49) was only found in R. pycnus X33, and one homolog of ChaA responsible for the Ca2+ efflux (25) is only present in S. marcescens X1.

It is well known that the intracellular concentrations of K and Na are very important to the physiological processes and salt stress response in microorganisms. In microorganisms, the K+ influx is mainly performed by four systems, the Trk/Ktr (K-transport), Kdp, and Kup (K+ uptake) systems, while the K+ efflux is mainly carried out by the glutathione-gated potassium (K) efflux (Kef) system and mechanosensitive channels (Msc) (23). Among these K+ uptake systems, Trk and Kup are constitutive systems, while Kdp is an inducible system, exhibiting high affinity for K+ (50). In S. marcescens X1, three K+ influx systems, KdpABCDE, TrkAH, and Kup, were found, and in R. pycnus X33, two K+ uptake systems, KdpABCDE and TrkAH, were discovered, while in M. sciuri X26, only TrkAH was observed. It is noteworthy that S. marcescens X1 possesses the homologs of KefBFG and MscK for K+ efflux, but no homologs of Kef or Msc were found in M. sciuri X26 and R. pycnus X33. It is likely that M. sciuri X26 and R. pycnus X33, as well as S. marcescens X1, do not have a strong ability for K+ uptake, so they require reducing K+ efflux to maintain intracellular K homeostasis. In microorganisms, the uptake of Na is performed by the important secondary active transporters (Na+-symporters) (23). In the genomes of the three isolates, some genes homologous to Na+-symporters, i.e., glutamate:Na+ symporter (gltS), solute:Na+ symporter (sss), neurotransmitter:Na+ symporter (nss), divalent anion:Na+ symporter (dass), bile acid:Na+ symporter (bass), malate:Na+ symporter (maeN), and phosphate:Na+ symporter (yjbB) were found. Except for the homolog of NSS, the other six Na+-symporters were found in S. marcescens X1, while only the homolog of dass is not present in the genome of M. sciuri X26. Correspondingly, in S. marcescens X1 and M. sciuri X26, there are many systems performing Na+ efflux to maintain intracellular Na homeostasis, including Na+-translocating NADH:ubiquinone oxidoreductase complex (NqrA-F), Na+-translocating NAD+:ferredoxin oxidoreductase complex (RnfA-E and RnfG), F-type H+:Na+-translocating ATPase complex (AtpAB), NhaABC, and/or MnhA-G (24, 5153). Different from S. marcescens X1 and M. sciuri X26, R. pycnus X33 only has four Na+-symporters, i.e., GltS, SSS, NSS, and DASS, and the Na+ efflux is only carried by AtpAB and NhaC.

In conclusion, 32 metal-tolerant isolates screened from the rhizosphere soil samples with metal-enriched media containing Cu, Fe, or Mn were identified and classified into 12 genera. The determination of MTC and the effect of metals on the metal-tolerant isolates indicated that among them, S. marcescens X1, M. sciuri X26, and R. pycnus X33 showed significant differences in metal tolerance to Cu, Fe, and Mn with other isolates. S. marcescens X1 could resist high concentrations of Cu, Fe, and Mn, M. sciuri X26 could resist high content of Mn but not Cu, and R. pycnus X33 could tolerate high levels of Fe but not Mn. To investigate their metal adaptation strategies at a genomic level, the genomes of the three isolates were sequenced and compared. It was found that the genomic features which have been believed to play an important role in adapting to metal environments are significantly different for the three isolates. S. marcescens X1 possesses a number of genes encoding transporters, channels, and metal-binding proteins to adapt to the environments containing high concentrations of Cu, Fe, and Mn. M. sciuri X26 has a number of genes involved in Mn and Zn homeostasis but no genes responsible for Cu and Ca transport. R. pycnus X33 is rich in Fe, Zn, and Mg transport systems but poor in Cu and Mn transport systems. Based on these findings, S. marcescens X1 is expected to serve as an eco-friendly biosorbent or biological material for effectively removing Cu, Fe, and Mn from wastewater and polluted soil. M. sciuri X26 is predicted to be used for treating the environment containing high amounts of Mn and Zn, and R. pycnus X33 is desired for accumulating Fe, Zn, and Mg from the environment. The combined use of them might serve as efficient plant growth regulators for the transport of metals between plants and soil as well as for the regulation of soil pH. Additionally, S. marcescens X1 might play a role in quick restoration of salt-contaminated soils considering its abundant K and Na transport systems, which were found in halophilic and halotolerant microbes. The aim of this study is to provide a preliminary insight into the differences of metal-tolerant bacteria in their action mechanisms to guide their combined use for new applications. In our subsequent work, we will further investigate the metal tolerance and phylogeny of microbial communities in contaminated soils so as to provide a more holistic understanding of the different strategies of the microbes in coping with metal stresses.

MATERIALS AND METHODS

Source and isolation of metal-tolerant bacteria

The soil samples were collected from the rhizosphere of banana and sugarcane grown at Guangzhou, Guangdong province, southern China (113.84°E, 23.31°N), and stored aseptically in a refrigerator at 4°С until processed for isolation. The soil samples (5 g) were diluted to a concentration of 10−3 and 10−4 (wt/vol) with autoclaved distilled water. The dilutes were then spread (100 µL per plate) onto modified Luria-Bertani (LB) agar plates (HKM, Guangdong, Chain) supplemented with 200 mg/L each of CuSO4, FeSO4, or MnSO4.4H2O (Macklin, Shanghai, Chain), and the pH was adjusted to 7.2 ± 0.3. The isolates were selected based on varying colony morphology after 2 days of incubation at 30°C, then purified, cultivated, and maintained on the same medium. Pure cultures were preserved as 20% (wt/vol) glycerol at −80°С.

Phylogenetic analysis of metal-tolerant bacterial isolates

The identification of metal-tolerant bacterial isolates was performed by sequencing the 16S rRNA genes. The 16S rRNA gene was amplified with forward 27F (5′-AGAGTTTGATCCTGGCTCAG-3′) and reverse 1492R (5′-TACCTTGTTACGACTT-3′) primers, and sequenced on an Illumina platform (Illumina NovaSeq 6000) at Tsingke Biotech (Beijing, China). The partial sequences of the 16S rRNA gene sequences of the metal-tolerant bacterial isolates were deposited in GenBank under the accession numbers OR342587OR342602. For phylogenetic analysis, 16S rRNA sequences of type strains with validly published prokaryotic strains affiliated with the isolates were retrieved from the GenBank database. The 16S rRNA gene sequences were aligned to produce a phylogenetic tree constructed with 1,000 bootstrap replications via the neighbor-joining method using MEGA 4.0 software (54).

Determination of MTC for metals

The MTC of the isolates was determined by using the spot plate method with LB agar plates supplemented with CuSO4 concentrations ranging from 100 to 1,000 mg/L, FeSO4 concentrations ranging from 100 to 1,000 mg/L, and MnSO4.4H2O concentrations ranging from 100 to 2,000 mg/L (2, 3). The culture of 3 µL (corresponding to 0.5 OD at 600 nm) from each isolate grown overnight was spotted onto the plates and observed for visible growth after 3 days of incubation at 30°C. The MTC was defined as the lowest concentration of metal without visible growth of the test strain.

Investigation of the effect of metals on bacterial growth

Isolate X1 that exhibited the highest MTC for three metals (Cu, Mn, and Fe), isolate X26 that showed the highest MTC for Mn and the lowest MTC for Cu, and isolate X33 that displayed the highest MTC for Fe and the lowest MTC for Mn were investigated for the effect of metals on their growth. The culture of 100 µL (corresponding to 0.5 OD at 600 nm) from the three strains grown overnight was transferred onto LB broth (100 mL) supplemented with middle concentrations of metals that the isolates could tolerate, i.e., isolate X1: 500 mg/L of CuSO4, 500 mg/L of FeSO4, and 1,000 mg/L of MnSO4.4H2O; isolate X26: 300 mg/L of FeSO4 and 1,000 mg/L of MnSO4.4H2O; isolate X33: 300 mg/L of CuSO4, 500 mg/L of FeSO4, and 1,000 mg/L of MnSO4.4H2O. The media with bacteria but no metal were used as controls. The growth curves of the strains cultured in liquid medium with varied concentrations of metals at 30°C for 2 days, with shaking at 150 rpm, were produced by determining at OD600 using a SpectraMax iD3 microplate reader (Molecular Devices, CA, USA). All experiments were performed three times.

Genome sequencing, assembly, and prediction

Genomic DNAs were extracted from the isolates X1, X26, and X33 using the GenElute bacterial genomic DNA extraction kit (Sigma-Aldrich, St. Louis, MO), and sequenced on a Nanopore platform (PromethION48) at Biomarker Technologies (Beijing, China). The filtered reads that were removed reads with mean_qscore_template of <7 and length of <2,000 bp from raw reads were assembled by Canu v.1.5 software (55). Racon v.3.4.3 software (56) was used to check the quality of the assembly, and then Circlator v.1.5.5 software was used to cyclize the assembly genome (57). The prediction of coding genes and repetitive sequences was performed by Prodigal v.2.6.3 (58) and RepeatMasker v.4.0.5 (59), respectively. tRNA and rRNA genes were predicted using tRNAscan-SE v.2.0 (60) and Infernal v.1.1.3 (61), respectively. PromPredict v.1 and antiSMASH v.5.0.0 were used for prediction of promoter (62) and secondary metabolic gene clusters (63), respectively.

Genome annotation and comparison

For functional annotation, the protein sequences of the predicted CDSs were blasted against the databases, including COG, GO, Swiss-Prot, KEGG, and NR. The subsystem analysis was performed by annotation using the subsystems technology server Rapid Annotation using Subsystem Technology (RAST) (64). To investigate the differences in metal adaptation strategies of isolates X1, X26, and X33, genes that are responsible for metal transport and metal-binding proteins, which play a role in the metal adaptation in microorganisms, were searched from the genomes of the three strains and compared with each other. The genome sequences of isolates X1, X26, and X33 were deposited at GenBank under the accession numbers CP132290, JAUZEF000000000, and CP132291, respectively.

ACKNOWLEDGMENTS

This research was supported by the funds from the “Hundred-Talent Program” of Guangdong Academy of Sciences (nos. 2020GDASYL-20200102009 and 2020GDASYL-20200102010), the Pearl River Talent Plan Project (no. 2021C × 020301), the GDAS’ Project of Science and Technology Development (no. 2022GDASZH-2022010110), and the Guangdong Basic and Applied Basic Research Foundation (no. 2022A1515110562), China.

Contributor Information

Jin Chuan Wu, Email: jchwu@tju.edu.cn.

Erik F. Y. Hom, University of Mississippi, University, Mississippi, USA

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